{"id":"W2995816958","doi":"10.33943/mms.2019.7.42227","title":"ПУТИ СОВЕРШЕНСТВОВАНИЯ СТАДА ПО ПРОДУКТИВНОСТИ КОРОВ ВЕДУЩЕЙ ГРУППЫ","year":2019,"lang":"en","type":"article","venue":"Molochnoe i miasnoe skotovodstvo","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herd; Breed; Milking; Biology; Animal science; Lactation; Selection (genetic algorithm); Dairy cattle; Veterinary medicine; Genetics; Pregnancy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008708121,0.0002959331,0.0003714908,0.001386923,0.0006276949,0.00219159,0.0003689417,0.0004906906,0.009792778],"category_scores_gemma":[0.00120491,0.0003692135,0.0003846265,0.001460063,0.001143949,0.0006094519,0.000728912,0.0007099194,0.003067216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009821679,"about_ca_system_score_gemma":0.001900091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004899269,"about_ca_topic_score_gemma":0.006786919,"domain_scores_codex":[0.9993777,0.0001301711,0.00004093489,0.000117906,0.0002649821,0.00006824346],"domain_scores_gemma":[0.9995338,0.0001015805,0.0001108929,0.00007849231,0.0001341287,0.00004110634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001704436,0.00008557981,0.006210734,0.0003951792,0.00006131209,0.0008366751,0.001380958,0.006606827,0.04766789,0.3464807,0.005774388,0.5843294],"study_design_scores_gemma":[0.0001038123,0.0002589951,0.02838075,0.0003095435,0.0001550135,0.003041136,0.001206831,0.01098657,0.02600837,0.1685751,0.7607693,0.0002045253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2117227,0.03228627,0.4017763,0.004185513,0.001213485,0.0003043506,0.001384847,0.0008012247,0.3463253],"genre_scores_gemma":[0.6822926,0.01523195,0.2448213,0.0001972351,0.000285006,0.0003574319,0.000526387,0.0002748446,0.05601333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009792778,"threshold_uncertainty_score":0.03276008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00810214560823551,"score_gpt":0.1727600449571473,"score_spread":0.1646578993489118,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}